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Query Specific Fusion for Image Retrieval
[chapter]
2012
Lecture Notes in Computer Science
Recent image retrieval algorithms based on local features indexed by a vocabulary tree and holistic features indexed by compact hashing codes both demonstrate excellent scalability. However, their retrieval precision may vary dramatically among queries. This motivates us to investigate how to fuse the ordered retrieval sets given by multiple retrieval methods, to further enhance the retrieval precision. Thus, we propose a graph-based query specific fusion approach where multiple retrieval sets
doi:10.1007/978-3-642-33709-3_47
fatcat:yfv4moo4ubejxoauin4htot5wa